Sentence Transformers: multi-qa-mpnet-base-dot-v1
sentence-transformers/multi-qa-mpnet-base-dot-v1The multi-qa-mpnet-base-dot-v1 embedding model transforms sentences and short paragraphs into a 768-dimensional dense vector space, generating high-quality semantic embeddings optimized for question-and-answer retrieval, semantic search, and similarity-scoring across diverse content.
Провайдер для Sentence Transformers: multi-qa-mpnet-base-dot-v1
Hubris маршрутизирует запросы к лучшему доступному провайдеру с автоматическим fallback при сбоях.
Модальности
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